Chaired by Jim DeLeo, CC

Conference Room F1/F2, Natcher Conference Center

“Data mining” suggests “data-driven” (in contrast to traditional “hypothesis-driven”) biomedical research. It starts with existing, available data and a wide selection of modern “intelligent computing tools.” When a well-chosen multidisciplinary team properly applies these tools, there is potential for rapid exposition of new biomedical knowledge. This session will describe a multidisciplinary team approach to biomedical data mining and report on some early NIH successes with it in clinical medicine.

Program:

What Is ’Multidisciplinary Biomedical Data Mining’?
Jim DeLeo, CC

Star Glyph Movies of Time-sequenced Patient Analyte Data
Alan Remaley, CC

Text Mining Findings of ‘Brown Fat’ Significance
Monica Skarulis, NIDDK

Data Mining Insights to Human Pain Tolerance
Mike Iadarola, NIDCR

Exploiting Biomedical Text Mining
Mohammad Al-Ubaydli, NLM